Abstract: Guessing random additive noise decoding (GRAND) has enabled the practical implementation of maximum likelihood (ML) or near-ML decoding, shifting the paradigm of code-specific decoder design ...
Please generate ".txt" files for train data and test data separately. In the ".txt" file, each line consists of the path of image and mask corresponding to the image ...
Abstract: Segmenting biomarkers in medical images is crucial for various biotech applications. Despite advances, Transformer and CNN based methods often struggle with variations in staining and ...
To start decoding, run SatsDecoder, select protocol tab and press Connect button. Play FM demodulated signal and wait for result.
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